Statisics In Microbiology, Infectious Diseases & Bioinformatics

描述(由申请者提供)：本培训计划的目标是培养生物统计学家在发展新的跨学科科学研究方面发挥领导作用。这将通过提供统计学和微生物学学科的严格培训以及生物信息学的跨学科培训来实现。这一培训计划将提供一个结构，加强现有的合作，并培训新一代生物统计学家，以推动生物医学和临床研究。 它将支持与微生物学、传染病和生物信息学等基础生物医学研究有关的生物统计学理论和相关不断演变的统计方法方面的博士培训。我们方法的关键是，生物统计学博士项目的受训者，或生物统计学博士项目的集中学员，将被要求承担：1)一年级普通微生物学课程的共同核心工作，包括实验室部分；2)与计算机实验室一起学习生物信息学统计方法的课程，以及一年级或二年级的微生物学统计研讨会；以及3)两次夏季实验室轮换。第一年年底的实验室轮换将在微生物学实验室进行，第二年将在同一微生物学实验室、不同的微生物学实验室、生物信息学计算机实验室或将计算生物学和生物信息学与生物学相结合的基因组学实验室进行。轮换的选择将取决于受训者不断发展的兴趣。还提供了微生物学、传染病和生物信息学方面的额外实验室轮换和课程，并在这些领域确定了轮换和共同导师。微生物学的研究生和博士后实习生将作为同行导师和实验室导师参与进来。微生物学或相关专业的博士生将有资格获得为期一年的支持，以继续接受生物统计学方面的培训，以深化他们的论文研究。对于统计学和生物统计学博士生，论文导师将来自生物统计学系和统计与精算学系，联合顾问将来自微生物系、传染病系、生物信息学和计算生物学中心以及比较基因组学中心。25名核心教员由16名统计科学家和9名生物科学家组成，他们都坚定地致力于这一合作和计划。在赠款的5年中，每年至少招募2名新学员。

DESCRIPTION (provided by applicant): The goal of this training program is to train biostatisticians to take a leadership role in developing new interdisciplinary scientific research. This will be achieved by providing rigorous training in the disciplines of statistics and microbiology, and also providing interdisciplinary training in bioinformatics. This training program will provide a structure that will strengthen existing collaborations, and train a new generation of biostatisticians to advance biomedical and clinical research. It will support PhD training in biostatistical theory and associated evolving statistical methodologies related to basic biomedical research including microbiology, infectious diseases and bioinformatics. Key to our approach is that trainees in the PhD program in Biostatistics, or in a concentration of the PhD program in Statistics which specializes in biostatistics, will be required to undertake: 1) a common core of course work in general microbiology in year 1, including a laboratory component; 2) course work with computer laboratory in statistical methods for bioinformatics and a seminar in statistics in microbiology, in either year 1 or year 2; and 3) two summer laboratory rotations. The laboratory rotation at the end of year 1 will be in a microbiology laboratory, and in year 2 will be either in the same microbiology laboratory, in a different microbiology laboratory, or in a bioinformatics computer laboratory, or in a genomics laboratory combining computational biology and bioinformatics with biology. The choice of rotations will depend on the trainee's evolving interests. Additional laboratory rotations and courses in microbiology, infectious diseases and bioinformatics are available and rotations and co-mentors have been identified in these areas. Graduate students and postdoctoral trainees in Microbiology will be involved as peer-mentors and laboratory mentors. PhD students in microbiology, or a closely related program, will be eligible for 1 year of support to pursue training in biostatistics to further their thesis research. For statistics and biostatistics PhD trainees, thesis advisors will be from the Department of Biostatistics and the Department of Statistics & Actuarial Science, and co-advisors will be from the Department of Microbiology, Division of Infectious Diseases, Center for Bioinformatics and Computational Biology, and the Center for Comparative Genomics. The 25 core faculty members consist of 16 statistical scientists and 9 biological scientists who are all firmly committed to this collaboration and program. At least 2 new trainees will be recruited in each of the 5 years of the grant.